• DocumentCode
    2852176
  • Title

    Multi-feature based medical image retrieval

  • Author

    Dong, Yanxue

  • Author_Institution
    Inf. Sch., Linyi Univ., Linyi, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    522
  • Lastpage
    524
  • Abstract
    With the rapid development of medical imaging technologies, images, and especially digital images, are produced in ever-increasing quantities and more and more important in diagnostics and therapy. This article proposes a retrieval methodology based on multi-feature for CT images of chest scan. Experiments on 1000 CT images of chest scan demonstrate that retrieval based on multi-feature together with proper feedback can get better performance than on single feature.
  • Keywords
    computerised tomography; feature extraction; image retrieval; medical image processing; CT images; chest scan; computed tomography; medical imaging technologies; multifeature based medical image retrieval; Artificial intelligence; Biomedical imaging; Feature extraction; Manganese; Shape; TV; CBIR; NMI; precision rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258708
  • Filename
    6258708